摘要
为了保证人为差错分类的全面性和一致性,在详细分析现有人为差错分类方法的基础上,提出了一种新的人为差错分类框架。该框架以"执行差错/忽略"为起点进行细化,得到五种基本的人为差错类别。以此作为人为差错原语,结合认知模型,分析了不同认知阶段可能出现的人为差错模式。实例证明,在这种分类方法指导下来分析人为差错,对提高人为差错分类结果的全面性和一致性有着重要意义。
A new framework for classifying human errors is presented on basis of the existing frameworks. The human error taxonomies derived from this framework are more comprehensive and consistent. In this framework, the seminal framework of ＂Commission/Omission＂ is branched out, and five basic human error types are derived. The five human error types can be used as primitives and combined with cognitive model in order to identify the human error modes at various cognitive modules. The process of human error identification is illustrated by an artificial example. The results show that this framework is effective.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2008年第1期73-77,93,共6页
Journal of National University of Defense Technology
基金
国家部委资助项目(51319040201)
关键词
人为差错
差错类别
执行差错
忽略差错
认知模型
系统安全
human error
error taxonomy
commission error
omission error
cognitive model
system safety
